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language: |
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- fa |
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license: apache-2.0 |
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base_model: makhataei/Whisper-Small-Common-Voice |
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tags: |
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- fa-asr |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Persian |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small Persian |
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This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 16.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7215 |
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- Wer: 43.6054 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-07 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 3000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0006 | 0.16 | 100 | 0.7099 | 42.5759 | |
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| 0.0016 | 0.31 | 200 | 0.7139 | 42.6710 | |
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| 0.0051 | 0.47 | 300 | 0.7114 | 42.6803 | |
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| 0.004 | 0.62 | 400 | 0.7109 | 42.6130 | |
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| 0.0047 | 0.78 | 500 | 0.7101 | 42.3139 | |
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| 0.0029 | 0.93 | 600 | 0.7105 | 42.4113 | |
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| 0.0016 | 1.09 | 700 | 0.7101 | 42.4067 | |
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| 0.0016 | 1.25 | 800 | 0.7129 | 42.3997 | |
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| 0.0028 | 1.4 | 900 | 0.7145 | 42.3951 | |
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| 0.0019 | 1.56 | 1000 | 0.7135 | 42.3557 | |
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| 0.0019 | 1.71 | 1100 | 0.7132 | 42.3534 | |
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| 0.0021 | 1.87 | 1200 | 0.7128 | 42.4739 | |
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| 0.0023 | 2.03 | 1300 | 0.7144 | 42.9330 | |
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| 0.0021 | 2.18 | 1400 | 0.7151 | 42.8403 | |
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| 0.0019 | 2.34 | 1500 | 0.7158 | 42.8820 | |
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| 0.0014 | 2.49 | 1600 | 0.7166 | 42.9121 | |
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| 0.0262 | 2.65 | 1700 | 0.7171 | 42.9933 | |
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| 0.0022 | 2.8 | 1800 | 0.7183 | 42.9608 | |
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| 0.0012 | 2.96 | 1900 | 0.7185 | 43.3921 | |
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| 0.0018 | 3.12 | 2000 | 0.7187 | 43.3295 | |
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| 0.0015 | 3.27 | 2100 | 0.7191 | 43.3480 | |
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| 0.0013 | 3.43 | 2200 | 0.7198 | 43.3898 | |
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| 0.0019 | 3.58 | 2300 | 0.7200 | 43.4106 | |
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| 0.0017 | 3.74 | 2400 | 0.7206 | 43.4315 | |
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| 0.0015 | 3.9 | 2500 | 0.7209 | 43.4268 | |
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| 0.0016 | 4.05 | 2600 | 0.7210 | 43.6031 | |
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| 0.0267 | 4.21 | 2700 | 0.7212 | 43.5891 | |
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| 0.001 | 4.36 | 2800 | 0.7213 | 43.5938 | |
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| 0.0015 | 4.52 | 2900 | 0.7215 | 43.6031 | |
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| 0.0019 | 4.67 | 3000 | 0.7215 | 43.6054 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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